--- title: "Agent-Reach vs prompt-patterns" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/panniantong-agent-reach-vs-phodal-prompt-patterns" tools: ["panniantong-agent-reach", "phodal-prompt-patterns"] --- # Agent-Reach vs prompt-patterns *GraphCanon updated Jul 11, 2026* ## Verdict Pick Agent-Reach when tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; pick prompt-patterns when tags unique to prompt-patterns: chatgpt, github-copilot, prompt-engineering, stable-diffusion. [Agent-Reach](https://github.com/Panniantong/Agent-Reach) reports 55k GitHub stars, 4.5k forks, and 144 open issues, last pushed Jul 10, 2026. [prompt-patterns](https://prompt-patterns.phodal.com) has 3.1k stars, 198 forks, and 0 open issues, last pushed Mar 22, 2023. Figures are from public GitHub metadata via [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach) and [prompt-patterns's repository](https://github.com/phodal/prompt-patterns). | | [Agent-Reach](/tools/panniantong-agent-reach.md) | [prompt-patterns](/tools/phodal-prompt-patterns.md) | | --- | --- | --- | | Tagline | Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees. | Prompt 编写模式：如何将思维框架赋予机器，以设计模式的形式来思考 prompt | | Stars | 54,715 | 3,095 | | Forks | 4,509 | 198 | | Open issues | 144 | 0 | | Language | Python | - | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | - | | Categories | AI Agents, Developer Tools, LLM Frameworks | Computer Vision, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Agent-Reach](/tools/panniantong-agent-reach.md) | [prompt-patterns](/tools/phodal-prompt-patterns.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 1207d | | Open issues (now) | 144 | 0 | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/panniantong-agent-reach/trust.md) | [trust report](/tools/phodal-prompt-patterns/trust.md) | ## Choose when ### Choose Agent-Reach if… - Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation. - Also covers AI Agents, Developer Tools. - More GitHub stars (55k vs 3.1k) - visibility, not fit. ### Choose prompt-patterns if… - Tags unique to prompt-patterns: chatgpt, github-copilot, prompt-engineering, stable-diffusion. - Also covers Computer Vision. - Leaner open-issue backlog (0). ## When NOT to use Agent-Reach - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use prompt-patterns - Last GitHub push was 1208 days ago (dormant maintenance, Mar 22, 2023). Validate activity before betting a new project on prompt-patterns. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between Agent-Reach and prompt-patterns? Agent-Reach: Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.. prompt-patterns: Prompt 编写模式：如何将思维框架赋予机器，以设计模式的形式来思考 prompt. See the comparison table for live GitHub stats and shared categories. ### When should I choose Agent-Reach over prompt-patterns? Choose Agent-Reach over prompt-patterns when Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents, Developer Tools; More GitHub stars (55k vs 3.1k) - visibility, not fit. ### When should I choose prompt-patterns over Agent-Reach? Choose prompt-patterns over Agent-Reach when Tags unique to prompt-patterns: chatgpt, github-copilot, prompt-engineering, stable-diffusion; Also covers Computer Vision; Leaner open-issue backlog (0). ### When should I avoid Agent-Reach? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid prompt-patterns? Last GitHub push was 1208 days ago (dormant maintenance, Mar 22, 2023). Validate activity before betting a new project on prompt-patterns. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is Agent-Reach or prompt-patterns more popular on GitHub? Agent-Reach has more GitHub stars (54,715 vs 3,095). Stars measure visibility, not whether either tool fits your constraints. ### Are Agent-Reach and prompt-patterns open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to Agent-Reach or prompt-patterns? GraphCanon lists graph-backed alternatives at [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) and [prompt-patterns alternatives](/tools/phodal-prompt-patterns/alternatives) ([Agent-Reach markdown twin](/tools/panniantong-agent-reach/alternatives.md), [prompt-patterns markdown twin](/tools/phodal-prompt-patterns/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/panniantong-agent-reach-vs-phodal-prompt-patterns.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Agent-Reach or prompt-patterns? Agent-Reach: Very active. prompt-patterns: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for Agent-Reach and prompt-patterns? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Agent-Reach trust report](/tools/panniantong-agent-reach/trust); [prompt-patterns trust report](/tools/phodal-prompt-patterns/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=panniantong-agent-reach`](/api/graphcanon/graph?tool=panniantong-agent-reach) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_